Limit Theorems for the Riemann Zeta-Function [electronic resource] /

The subject of this book is probabilistic number theory. In a wide sense probabilistic number theory is part of the analytic number theory, where the methods and ideas of probability theory are used to study the distribution of values of arithmetic objects. This is usually complicated, as it is difficult to say anything about their concrete values. This is why the following problem is usually investigated: given some set, how often do values of an arithmetic object get into this set? It turns out that this frequency follows strict mathematical laws. Here we discover an analogy with quantum mechanics where it is impossible to describe the chaotic behaviour of one particle, but that large numbers of particles obey statistical laws. The objects of investigation of this book are Dirichlet series, and, as the title shows, the main attention is devoted to the Riemann zeta-function. In studying the distribution of values of Dirichlet series the weak convergence of probability measures on different spaces (one of the principle asymptotic probability theory methods) is used. The application of this method was launched by H. Bohr in the third decade of this century and it was implemented in his works together with B. Jessen. Further development of this idea was made in the papers of B. Jessen and A. Wintner, V. Borchsenius and B.

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Autores principales: Laurinčikas, Antanas. author., SpringerLink (Online service)
Formato: Texto biblioteca
Idioma:eng
Publicado: Dordrecht : Springer Netherlands : Imprint: Springer, 1996
Materias:Mathematics., Functional analysis., Functions of complex variables., Measure theory., Number theory., Probabilities., Number Theory., Probability Theory and Stochastic Processes., Functions of a Complex Variable., Functional Analysis., Measure and Integration.,
Acceso en línea:http://dx.doi.org/10.1007/978-94-017-2091-5
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spelling KOHA-OAI-TEST:2109302018-07-30T23:43:16ZLimit Theorems for the Riemann Zeta-Function [electronic resource] / Laurinčikas, Antanas. author. SpringerLink (Online service) textDordrecht : Springer Netherlands : Imprint: Springer,1996.engThe subject of this book is probabilistic number theory. In a wide sense probabilistic number theory is part of the analytic number theory, where the methods and ideas of probability theory are used to study the distribution of values of arithmetic objects. This is usually complicated, as it is difficult to say anything about their concrete values. This is why the following problem is usually investigated: given some set, how often do values of an arithmetic object get into this set? It turns out that this frequency follows strict mathematical laws. Here we discover an analogy with quantum mechanics where it is impossible to describe the chaotic behaviour of one particle, but that large numbers of particles obey statistical laws. The objects of investigation of this book are Dirichlet series, and, as the title shows, the main attention is devoted to the Riemann zeta-function. In studying the distribution of values of Dirichlet series the weak convergence of probability measures on different spaces (one of the principle asymptotic probability theory methods) is used. The application of this method was launched by H. Bohr in the third decade of this century and it was implemented in his works together with B. Jessen. Further development of this idea was made in the papers of B. Jessen and A. Wintner, V. Borchsenius and B.1. Elements of the Probability Theory -- 2. Dirichlet Series and Dirichlet Polynomials -- 3. Limit Theorems for the Modulus of the Riemann Zeta-Function -- 4. Limit Theorems for the Riemann Zeta-Function on the Complex Plane -- 5. Limit Theorems for the Riemann Zeta-Function in the Space of Analytic Functions -- 6. Universality Theorem for the Riemann Zeta-Function -- 7. Limit Theorem for the Riemann Zeta-Function in the Space of Continuous Functions -- 8. Limit Theorems for Dirichlet L-Functions -- 9. Limit Theorem for the Dirichlet Series with Multiplicative Coefficients -- References -- Notation.The subject of this book is probabilistic number theory. In a wide sense probabilistic number theory is part of the analytic number theory, where the methods and ideas of probability theory are used to study the distribution of values of arithmetic objects. This is usually complicated, as it is difficult to say anything about their concrete values. This is why the following problem is usually investigated: given some set, how often do values of an arithmetic object get into this set? It turns out that this frequency follows strict mathematical laws. Here we discover an analogy with quantum mechanics where it is impossible to describe the chaotic behaviour of one particle, but that large numbers of particles obey statistical laws. The objects of investigation of this book are Dirichlet series, and, as the title shows, the main attention is devoted to the Riemann zeta-function. In studying the distribution of values of Dirichlet series the weak convergence of probability measures on different spaces (one of the principle asymptotic probability theory methods) is used. The application of this method was launched by H. Bohr in the third decade of this century and it was implemented in his works together with B. Jessen. Further development of this idea was made in the papers of B. Jessen and A. Wintner, V. Borchsenius and B.Mathematics.Functional analysis.Functions of complex variables.Measure theory.Number theory.Probabilities.Mathematics.Number Theory.Probability Theory and Stochastic Processes.Functions of a Complex Variable.Functional Analysis.Measure and Integration.Springer eBookshttp://dx.doi.org/10.1007/978-94-017-2091-5URN:ISBN:9789401720915
institution COLPOS
collection Koha
country México
countrycode MX
component Bibliográfico
access En linea
En linea
databasecode cat-colpos
tag biblioteca
region America del Norte
libraryname Departamento de documentación y biblioteca de COLPOS
language eng
topic Mathematics.
Functional analysis.
Functions of complex variables.
Measure theory.
Number theory.
Probabilities.
Mathematics.
Number Theory.
Probability Theory and Stochastic Processes.
Functions of a Complex Variable.
Functional Analysis.
Measure and Integration.
Mathematics.
Functional analysis.
Functions of complex variables.
Measure theory.
Number theory.
Probabilities.
Mathematics.
Number Theory.
Probability Theory and Stochastic Processes.
Functions of a Complex Variable.
Functional Analysis.
Measure and Integration.
spellingShingle Mathematics.
Functional analysis.
Functions of complex variables.
Measure theory.
Number theory.
Probabilities.
Mathematics.
Number Theory.
Probability Theory and Stochastic Processes.
Functions of a Complex Variable.
Functional Analysis.
Measure and Integration.
Mathematics.
Functional analysis.
Functions of complex variables.
Measure theory.
Number theory.
Probabilities.
Mathematics.
Number Theory.
Probability Theory and Stochastic Processes.
Functions of a Complex Variable.
Functional Analysis.
Measure and Integration.
Laurinčikas, Antanas. author.
SpringerLink (Online service)
Limit Theorems for the Riemann Zeta-Function [electronic resource] /
description The subject of this book is probabilistic number theory. In a wide sense probabilistic number theory is part of the analytic number theory, where the methods and ideas of probability theory are used to study the distribution of values of arithmetic objects. This is usually complicated, as it is difficult to say anything about their concrete values. This is why the following problem is usually investigated: given some set, how often do values of an arithmetic object get into this set? It turns out that this frequency follows strict mathematical laws. Here we discover an analogy with quantum mechanics where it is impossible to describe the chaotic behaviour of one particle, but that large numbers of particles obey statistical laws. The objects of investigation of this book are Dirichlet series, and, as the title shows, the main attention is devoted to the Riemann zeta-function. In studying the distribution of values of Dirichlet series the weak convergence of probability measures on different spaces (one of the principle asymptotic probability theory methods) is used. The application of this method was launched by H. Bohr in the third decade of this century and it was implemented in his works together with B. Jessen. Further development of this idea was made in the papers of B. Jessen and A. Wintner, V. Borchsenius and B.
format Texto
topic_facet Mathematics.
Functional analysis.
Functions of complex variables.
Measure theory.
Number theory.
Probabilities.
Mathematics.
Number Theory.
Probability Theory and Stochastic Processes.
Functions of a Complex Variable.
Functional Analysis.
Measure and Integration.
author Laurinčikas, Antanas. author.
SpringerLink (Online service)
author_facet Laurinčikas, Antanas. author.
SpringerLink (Online service)
author_sort Laurinčikas, Antanas. author.
title Limit Theorems for the Riemann Zeta-Function [electronic resource] /
title_short Limit Theorems for the Riemann Zeta-Function [electronic resource] /
title_full Limit Theorems for the Riemann Zeta-Function [electronic resource] /
title_fullStr Limit Theorems for the Riemann Zeta-Function [electronic resource] /
title_full_unstemmed Limit Theorems for the Riemann Zeta-Function [electronic resource] /
title_sort limit theorems for the riemann zeta-function [electronic resource] /
publisher Dordrecht : Springer Netherlands : Imprint: Springer,
publishDate 1996
url http://dx.doi.org/10.1007/978-94-017-2091-5
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